Skip to contents

Imputed SMART study data

Source: R/datalist.R
smart.Rd

Imputed SMART study data (no missing values).

Usage

data(smart)

Format

A numeric matrix with 3873 samples, and 29 variables (27 variables + time variable + event variable):

  • Demographics

    • SEX - gender

    • AGE - age in years

  • Classical risk factors

    • SMOKING - smoking (never, former, current)

    • PACKYRS - in years

    • ALCOHOL - alcohol use (never, former, current)

    • BMI - Body mass index, in kg/m^2

    • DIABETES

  • Blood pressure

    • SYSTH - Systolic, by hand, in mm Hg

    • SYSTBP - Systolic, automatic, in mm Hg

    • DIASTH - Diastolic, by hand, in mm Hg

    • DIASTBP - Diastolic, automatic, in mm Hg

  • Lipid levels

    • CHOL - Total cholesterol, in mmol/L

    • HDL - High-density lipoprotein cholesterol, in mmol/L

    • LDL - Low-density lipoprotein cholesterol, in mmol/L

    • TRIG - Triglycerides, in mmol/L

  • Previous symptomatic atherosclerosis

    • CEREBRAL - Cerebral

    • CARDIAC - Coronary

    • PERIPH - Peripheral

    • AAA - Abdominal aortic aneurysm

  • Markers of atherosclerosis

    • HOMOC - Homocysteine, in \(\mu\)mol/L

    • GLUT - Glutamine, in \(\mu\)mol/L

    • CREAT - Creatinine clearance, in mL/min

    • ALBUMIN - Albumin (no, micro, macro)

    • IMT - Intima media thickness, in mm

    • STENOSIS - Carotid artery stenosis > 50%

Note

See data-raw/smart.R for the code to generate this data.

References

Steyerberg, E. W. (2008). Clinical prediction models: a practical approach to development, validation, and updating. Springer Science & Business Media.

Examples

data(smart)
dim(smart)
#> [1] 3873   29